Chapter ObjectivesOverview of Anomaly DetectionImportance of Predictive Analysis in CybersecurityMachine Learning Algorithms: SVM, Decision Trees, Neural NetworksStatistical Methods: ARIMA, GARCHTechniques for Feature Selection and ExtractionMetrics for Model Performance: Accuracy, Precision, Recall, F1-ScoreTools and Libraries for Predictive Modeling: Scikit-learn, TensorFlowIntegrating Dynamic Malware Analysis with Anomaly Detection and Predictive ModelsSummaryReferencesTest Your SkillsMultiple-Choice QuestionsAnswers to Multiple-Choice Questions